摘要
本文分析了未知远程环境下移动机器人导航过程中进化学习的效率和知识更新问题 ,提出了并行进化模型来解决此问题 ,并设计和论证了高效的并行进化计算机 .
In this paper, efficiency and knowledge update problems of evolutionary learning in mobile robot navigation under unknown remote environment have been analyzed, parallel evolution model has been proposed to solve the problems, and efficient parallel evolutionary computer has been designed and verified. At last, through experiment and simulation mobile robot navigation under unknown environment based on parallel evolution model has been tested available and effective.
出处
《机器人》
EI
CSCD
北大核心
2003年第3期193-197,共5页
Robot
基金
国家自然科学基金课题资助项目 ( 699740 43 )
国家自然科学基金重点项目 ( 60 2 3 40 3 0 )
国家博士点基金课题 ( 990 5 3 3 17)的资助